Body dissatisfaction, ideals, and identity in the development of disordered eating among adolescent ballet dancers.

OBJECTIVE: Little is known about how female adolescent ballet dancers-a group at high-risk for the development of body dissatisfaction and eating disorders-construct body ideals, and how their social identities interact with body ideals to confer risk for disordered eating. Using a novel body figure behavioral task, this study investigated (1) whether degree of body dissatisfaction corresponded to severity of disordered eating thoughts and behaviors, and (2) how ballet identity corresponded with ideal body figure size among adolescent ballet dancers. METHODS: Participants were 188 female ballet dancers ages 13-18 years who completed self-report measures of study constructs and the behavioral task. RESULTS: Linear regression models indicated that more severe body dissatisfaction was positively associated with increased disordered eating thoughts and behaviors (p < .19), except for muscle building (p = .32). We also found that identifying more strongly as a ballet dancer was correlated with having a smaller ideal body size (p = .017). CONCLUSION: Findings from this study suggest desire to achieve smaller body sizes is correlated with more severe disordered eating endorsement and stronger ballet identity. Instructors and clinicians may consider assessing the extent to which individuals identify as a ballet dancer as a risk factor for disordered eating and encourage adolescent dancers to build and nurture other identities beyond ballet. PUBLIC SIGNIFICANCE: Eating disorders are debilitating conditions that can lead to malnutrition, social isolation, and even premature death. Though disordered eating thoughts and behaviors can affect anyone, adolescents in physically demanding and body image-driven activities including ballet dance are particularly vulnerable. Investigating how factors like body dissatisfaction and strength of identity are associated with disordered eating among high-risk groups is crucial for developing effective prevention and intervention methods that minimize harm.

Comparing self-harming intentions underlying eating disordered behaviors and nonsuicidal self-injury: Replication and extension in adolescents.

OBJECTIVE: Eating disorder (ED) behaviors are often characterized as indirect forms of self-harm. However, recent research has found less clear demarcations between direct self-harming behaviors (e.g., nonsuicidal self-injury [NSSI], suicidal behaviors) than previously assumed. The aim of this study was to replicate findings of this prior research on adult populations in adolescents with a history of restrictive eating. METHOD: A total of 117 adolescents between ages 12-14 were included in the study. Participants reported the presence and frequency of binge eating, compensatory, restrictive eating, and NSSI. Participants also reported thoughts of and intentions to hurt and kill themselves when engaging in each behavior on average. The t-tests and linear effects models were conducted to compare self-harming thoughts and intentions across behaviors. RESULTS: Participants reported at least some intent to hurt themselves physically in the moment and in the long-term when engaging in all ED behaviors and NSSI, and reported engaging in these behaviors while thinking about suicide. Direct self-harming knowledge and intentions were most frequently reported with NSSI and longer-term knowledge and intentions via NSSI and restrictive eating. Additionally, participants reported some suicidal thoughts and intentions across behaviors. DISCUSSION: This study replicates prior research, suggesting that adolescents engage in ED behaviors and NSSI with non-zero self-harming and suicidal thoughts and intentions. ED behaviors and NSSI may better be explained on a continuum. Implications include the recommendation of safety planning during ED treatment. PUBLIC SIGNIFICANCE STATEMENT: This study highlights the overlap between eating disorder (ED) behaviors, nonsuicidal self-injury (NSSI), and suicide. Though clear distinctions typically exist for motives of self-harming behavior between ED behaviors (i.e., indirect, in the long run) and NSSI (i.e., direct, in the moment), this research suggests that intentions for self-harming and suicide may exist on a continuum. Clinical ED treatment should consider safety planning as part of routine interventions.

Development of transdiagnostic clinical risk prediction models for 12-month onset and course of eating disorders among adolescents in the community.

OBJECTIVE: To develop and internally validate risk prediction models for adolescent onset and persistence of eating disorders. METHODS: N = 963 Australian adolescents (11-19 years) in the EveryBODY Study cohort completed online surveys in 2018 and 2019. Models were built to predict 12-month risk of (1) onset, and (2) persistence of a DSM-5 eating disorder. RESULTS: Onset Model. Of the n = 687 adolescents without an eating disorder at baseline, 16.9% were identified with an eating disorder after 12 months. The prediction model was based on evidence-based risk factors for eating disorder onset available within the dataset (sex, body mass index percentile, strict weight loss dieting, history of bullying, psychological distress, weight/shape concerns). This model showed fair discriminative performance (mean AUC = .75). The most important factors were psychological distress, weight and shape concerns, and female sex. Diagnostic Persistence Model. Of the n = 276 adolescents with an eating disorder at baseline, 74.6% were identified as continuing to meet criteria for an eating disorder after 12 months. The prediction model for diagnostic persistence was based on available evidence-based risk factors for eating disorder persistence (purging, distress, social impairment). This model showed poor discriminative performance (mean AUC = .65). The most important factors were psychological distress and self-induced vomiting for weight control. DISCUSSION: We found preliminary evidence for the utility of a parsimonious model for 12-month onset of an eating disorder among adolescents in the community. Future research should include additional evidence-based risk factors and validate models beyond the original sample. PUBLIC SIGNIFICANCE: This study demonstrated the feasibility of developing parsimonious and accurate models for the prediction of future onset of an eating disorder among adolescents. The most important predictors in this model included psychological distress and weight and shape concerns. This study has laid the ground work for future research to build and test more accurate prediction models in diverse samples, prior to translation into a clinical tool for use in real world settings to aid decisions about referral to early intervention.

Online Methods in Adolescent Self-Injury Research: Challenges and Recommendations.

Online methods hold promise as effective research tools for adolescent psychopathology research. Such methods may be the most effective way to reach large, representative samples of adolescents and harder-to-reach populations. They also may increase adolescent disclosure of risky behaviors, reduce recruitment costs, and increase the cost and time efficiency of recruitment. Despite these advantages, researchers may be concerned about including measures assessing risky behaviors, like suicidal thoughts and behaviors and nonsuicidal self-injury, in online studies of youth. In addition, parental consent in online studies is impractical and difficult to obtain. Concerns also include potential iatrogenic effects, sample bias, and data quality issues. This review discusses the benefits and challenges for online adolescent self-injury research, proposes strategies to overcome barriers, and provides examples and recommendations for future research.

Machine learning enhances prediction of illness course: a longitudinal study in eating disorders.

BACKGROUND: Psychiatric disorders, including eating disorders (EDs), have clinical outcomes that range widely in severity and chronicity. The ability to predict such outcomes is extremely limited. Machine-learning (ML) approaches that model complexity may optimize the prediction of multifaceted psychiatric behaviors. However, the investigations of many psychiatric concerns have not capitalized on ML to improve prognosis. This study conducted the first comparison of an ML approach (elastic net regularized logistic regression) to traditional regression to longitudinally predict ED outcomes. METHODS: Females with heterogeneous ED diagnoses completed demographic and psychiatric assessments at baseline (n = 415) and Year 1 (n = 320) and 2 (n = 277) follow-ups. Elastic net and traditional logistic regression models comprising the same baseline variables were compared in ability to longitudinally predict ED diagnosis, binge eating, compensatory behavior, and underweight BMI at Years 1 and 2. RESULTS: Elastic net models had higher accuracy for all outcomes at Years 1 and 2 [average Area Under the Receiving Operating Characteristics Curve (AUC) = 0.78] compared to logistic regression (average AUC = 0.67). Model performance did not deteriorate when the most important predictor was removed or an alternative ML algorithm (random forests) was applied. Baseline ED (e.g. diagnosis), psychiatric (e.g. hospitalization), and demographic (e.g. ethnicity) characteristics emerged as important predictors in exploratory predictor importance analyses. CONCLUSIONS: ML algorithms can enhance the prediction of ED symptoms for 2 years and may identify important risk markers. The superior accuracy of ML for predicting complex outcomes suggests that these approaches may ultimately aid in advancing precision medicine for serious psychiatric disorders.

Open science practices for eating disorders research.

This editorial seeks to encourage the increased application of three open science practices in eating disorders research: Preregistration, Registered Reports, and the sharing of materials, data, and code. For each of these practices, we introduce updated International Journal of Eating Disorders author and reviewer guidance. Updates include the introduction of open science badges; specific instructions about how to improve transparency; and the introduction of Registered Reports of systematic or meta-analytical reviews. The editorial also seeks to encourage the study of open science practices. Open science practices pose considerable time and other resource burdens. Therefore, research is needed to help determine the value of these added burdens and to identify efficient strategies for implementing open science practices.

Machine learning to advance the prediction, prevention and treatment of eating disorders.

Machine learning approaches are just emerging in eating disorders research. Promising early results suggest that such approaches may be a particularly promising and fruitful future direction. However, there are several challenges related to the nature of eating disorders in building robust, reliable and clinically meaningful prediction models. This article aims to provide a brief introduction to machine learning and to discuss several such challenges, including issues of sample size, measurement, imbalanced data and bias; I also provide concrete steps and recommendations for each of these issues. Finally, I outline key outstanding questions and directions for future research in building, testing and implementing machine learning models to advance our prediction, prevention, and treatment of eating disorders.

Cognitive rigidity and heightened attention to detail occur transdiagnostically in adolescents with eating disorders.

Cognitive inflexibility and attention to detail bias represent a promising target in eating disorder (ED) treatment. While prior research has found that adults with eating disorders exhibit significant cognitive inflexibility and heightened attention to detail, less is known about these cognitive impairments among adolescents, and across EDs transdiagnostically. To address this gap, adolescent females (N = 143) from a residential ED program with anorexia nervosa, bulimia nervosa, or other specified feeding or eating disorder completed the Detail and Flexibility Questionnaire (DFlex) and measures of ED and general psychopathology. Transdiagnostically, adolescents with EDs scored higher than an archival sample of healthy control adolescents on both cognitive rigidity (p < .001; Cohen's d = 1.92) and attention to detail (p < .001; Cohen's d = 1.16). These cognitive impairments were significantly associated with severity of eating pathology, and these relationships existed independent of age, duration of illness, or body mass index (BMI). Our findings suggest cognitive inflexibility and heightened attention to detail occur transdiagnostically in adolescents with eating disorders and are unlikely to be a scar of the disorder. Future prospective research is needed to determine whether these cognitive styles represent an endophenotype of eating disorders.

Ethical dilemmas posed by mobile health and machine learning in psychiatry research.

The application of digital technology to psychiatry research is rapidly leading to new discoveries and capabilities in the field of mobile health. However, the increase in opportunities to passively collect vast amounts of detailed information on study participants coupled with advances in statistical techniques that enable machine learning models to process such information has raised novel ethical dilemmas regarding researchers' duties to: (i) monitor adverse events and intervene accordingly; (ii) obtain fully informed, voluntary consent; (iii) protect the privacy of participants; and (iv) increase the transparency of powerful, machine learning models to ensure they can be applied ethically and fairly in psychiatric care. This review highlights emerging ethical challenges and unresolved ethical questions in mobile health research and provides recommendations on how mobile health researchers can address these issues in practice. Ultimately, the hope is that this review will facilitate continued discussion on how to achieve best practice in mobile health research within psychiatry.

L'application des technologies numériques à la recherche psychiatrique entraîne rapidement de nouvelles découvertes et capacités en matière de santé mobile. Cependant, la multiplication des opportunités de recueillir passivement d'immenses quantités d'informations détaillées sur les participants aux études combinée aux progrès des techniques statistiques permettant aux modèles d'apprentissage automatique de traiter de telles informations a soulevé de nouveaux dilemmes éthiques concernant l'obligation des chercheurs: (i) de surveiller les effets indésirables et d'intervenir en conséquence; (ii) d'obtenir un consentement pleinement éclairé et volontaire; (iii) de protéger la vie privée des participants; et enfin, (iv) d'améliorer la transparence des puissants modèles d'apprentissage automatique afin de garantir une application éthique et impartiale dans le domaine des soins psychiatriques. Ce rapport identifie les défis qui en découlent ainsi que les questions éthiques non résolues en matière de santé mobile. Il formule également des recommandations sur la façon dont les chercheurs en santé mobile peuvent résoudre ces problèmes dans la pratique. À terme, nous espérons que ce rapport favorisera la poursuite des discussions portant sur les moyens de définir des méthodes de recherche adéquates pour la santé mobile en psychiatrie.

La aplicación de la tecnología digital a la investigación en psiquiatría está conduciendo rápidamente a descubrimientos y capacidades nuevas en el ámbito de la salud móvil. No obstante, el incremento de las oportunidades para recopilar pasivamente grandes volúmenes de información detallada sobre los participantes en los estudios, junto con los avances en las técnicas de estadística que permiten a los modelos de aprendizaje automático procesar tal información, ha planteado nuevos dilemas éticos relativos a los deberes de los investigadores: (i) hacer un seguimiento de los eventos adversos e intervenir en consecuencia; (ii) obtener un consentimiento voluntario plenamente informado; (iii) proteger la privacidad de los participantes; y (iv) aumentar la transparencia de los modelos potentes de aprendizaje automático para asegurar que puedan aplicarse de manera ética y justa en la atención psiquiátrica. En este análisis se destacan tanto los desafíos éticos nuevos como las cuestiones éticas aún sin resolver en la investigación sobre la salud móvil y se formulan recomendaciones sobre cómo los investigadores de la salud móvil pueden abordar dichas cuestiones en la práctica. En última instancia, se espera que este análisis facilite un debate continuo sobre cómo lograr las mejores prácticas en la investigación de la salud móvil dentro de la psiquiatría.

Restrictive eating, but not binge eating or purging, predicts suicidal ideation in adolescents and young adults with low-weight eating disorders.

OBJECTIVE: This study examined the relationship between eating-disorder behaviors-including restrictive eating, binge eating, and purging-and suicidal ideation. We hypothesized that restrictive eating would significantly predict suicidal ideation, beyond the effects of binge eating/purging. METHODS: Participants were 82 adolescents and young adults with low-weight eating disorders. We conducted a hierarchical logistic regression, with binge eating and purging in Step 1 and restrictive eating in Step 2, to predict suicidal ideation. RESULTS: Step 1 was significant (p = .01) and explained 20% variance in suicidal ideation; neither binge eating nor purging significantly predicted suicidal ideation. Adding restrictive eating in Step 2 significantly improved the model (ΔR2 = .07, p = .009). This final model explained 27% of the variance, and restrictive eating (but not binge eating/purging) significantly predicted suicidal ideation (p = .02). DISCUSSION: Restrictive eating is associated with suicidal ideation in youth with low-weight eating disorders, beyond the effects of other eating-disorder behaviors. Although healthcare providers may be more likely to screen for suicidality in patients with binge eating and purging, our findings indicate clinicians should regularly assess suicide and self-injury in patients with restrictive eating. Future research examining how individuals progress from suicidal ideation to suicidal attempts can further enhance our understanding of suicide in eating disorders.

Core psychopathology of treatment-seeking patients with binge-eating disorder: a network analysis investigation.

BACKGROUND: Mental disorders may emerge as the result of interactions between observable symptoms. Such interactions can be analyzed using network analysis. Several recent studies have used network analysis to examine eating disorders, indicating a core role of overvaluation of weight and shape. However, no studies to date have applied network models to binge-eating disorder (BED), the most prevalent eating disorder. METHODS: We constructed a cross-sectional graphical LASSO network in a sample of 788 individuals with BED. Symptoms were assessed using the Eating Disorders Examination Interview. We identified core symptoms of BED using expected influence centrality. RESULTS: Overvaluation of shape emerged as the symptom with the highest centrality. Dissatisfaction with weight and overvaluation of weight also emerged as highly central symptoms. On the other hand, behavioral symptoms such as binge eating, eating in secret, and dietary restraint/restriction were less central. The network was stable, allowing for reliable interpretations (centrality stability coefficient = 0.74). CONCLUSIONS: Overvaluation of shape and weight emerged as core symptoms of BED. This trend is consistent with past network analyses of eating disorders more broadly, as well as literature that suggests a primary role of shape and weight concerns in BED. Although DSM-5 diagnostic criteria for BED does not currently include a cognitive criterion related to body image or shape/weight overvaluation, our results provide support for including shape/weight overvaluation as a diagnostic specifier.

Residential eating disorder outcomes associated with screening positive for substance use disorder and borderline personality disorder.

OBJECTIVE: We examined whether eating disorder (ED) outcome trajectories during residential treatment differed for patients screening positive for comorbid borderline personality disorder (BPD) and/or substance use disorders (SUDs) than those who do not. METHOD: We examined data from patients in a residential ED treatment program. Patients completed validated self-report surveys to screen for SUDs and BPD on admission, and the ED Examination-Questionnaire (EDE-Q) on admission and every 2 weeks until discharge (N = 479 females). RESULTS: Fifty-four percent screened positive for at least one co-occurring condition. At admission, patients screening positive for SUD and/or BPD had significantly greater eating pathology than patients screening negative for both (t[477] = 8.23, p < .001). Patients screening positive for SUD (independent of BPD screening status) had a significantly faster rate of symptom improvement during the initial 4 weeks than patients screening positive for BPD only and those with no comorbidities. DISCUSSION: Screening positive for SUD and/or BPD was common in residential ED treatment, and associated with more severe ED symptoms. Screening positive for SUD was associated with faster ED symptom improvement than screening positive for BPD. These findings suggest that intensive ED treatment, even in the absence of intensive SUD treatment, may enhance patient outcomes for those with SUDs.

Comparing self-harming intentions underlying eating disordered behaviors and NSSI: Evidence that distinctions are less clear than assumed.

OBJECTIVE: Eating disordered (ED) behaviors (i.e., binge eating, compensatory behaviors, restrictive eating) and nonsuicidal self-injury (NSSI; intentional and nonsuicidal self-harm) are highly comorbid and share several similarities, including consequent pain and physical damage. However, whereas NSSI is considered direct self-harm, ED behaviors are considered indirect self-harm. These distinctions stem from theoretical understanding that NSSI is enacted to cause physical harm in the moment, whereas ED behaviors are enacted for other reasons, with consequent physical harm occurring downstream of the behaviors. We sought to build on these theoretically informed classifications by assessing a range of self-harming intentions across NSSI and ED behaviors. METHOD: Study recruitment was conducted via online forums. After screening for inclusion criteria, 151 adults reported on their intent to and knowledge of causing physical harm in the short- and long-term and suicide and death related cognitions and intentions when engaging in NSSI and specific ED behaviors. RESULTS: Participants reported engaging in ED and NSSI behaviors with intent to hurt themselves physically in the moment and long-term, alongside thoughts of suicide, and with some hope and knowledge of dying sooner due to these behaviors. Distinctions across behaviors also emerged. Participants reported greater intent to cause physical harm in the moment via NSSI and in the long-run via restrictive eating. NSSI and restrictive eating were associated with stronger endorsement of most suicide and death-related intentions than binge eating or compensatory behaviors. CONCLUSIONS: Findings shed light on classification of self-harming behaviors, casting doubt that firm boundaries differentiate direct and indirectly self-harming behaviors.

Impact of expanded diagnostic criteria for avoidant/restrictive food intake disorder on clinical comparisons with anorexia nervosa.

OBJECTIVE: Avoidant/restrictive food intake disorder (ARFID) and anorexia nervosa (AN) are restrictive eating disorders. There is a proposal before the American Psychiatric Association to broaden the current DSM-5 criteria for ARFID, which currently require dietary intake that is inadequate to support energy or nutritional needs. We compared the clinical presentations of ARFID and AN in an outpatient sample to determine how a more inclusive definition of ARFID, heterogeneous for age and weight status, is distinct from AN. METHODS: As part of standard care, 138 individuals with AN or ARFID completed an online assessment battery and agreed to include their responses in research. RESULTS: Individuals with ARFID were younger, reported earlier age of onset, and had higher percent median BMI (%mBMI) than those with AN (all ps < .001). Individuals with ARFID scored lower on measures of eating pathology, depression, anxiety, and clinical impairment (all ps < .05), but did not differ from those with AN on restrictive eating (p = .52), and scored higher on food neophobia (p < .001). DISCUSSION: Allowing psychosocial impairment to be sufficient for an ARFID diagnosis resulted in a clinical picture of ARFID such that %mBMI was higher (and in the normal range) compared with AN. Differences in gender distribution, age, and age of onset remained consistent with previous research. Both groups reported similar levels of dietary restriction, although ARFID can be distinguished by relatively higher levels of food neophobia. Currently available measures of eating pathology may capture certain ARFID symptoms, but highlight the need for measures of impairment relative to ARFID.

Identifying Risk Factors for Disordered Eating among Female Youth in Primary Care.

Eating disorders are a serious, life-threating condition impacting adolescents and young adults. Providers in primary care settings have an important role in identifying disordered eating (DE) symptoms. Unfortunately, symptoms go undetected in 50% of patients in medical settings. Using the behavioral health screen, this study identified DE risk profiles in a sample of 3620 female adolescents and young adults (ages 14-24), presenting in primary care. A latent class analysis with twenty psychosocial factors identified three DE risk groups. The group at highest risk for DE was characterized by endorsement of internalizing symptoms and a history of trauma. The next risk group consisted of those with externalizing symptoms, particularly substance use. The group at lowest risk for DE reported more time spent with friends compared to their peers. Primary care providers and psychiatric teams can benefit from knowing the psychosocial risk patterns affiliated with DE, and using brief, comprehensive screening tools to identify these symptoms.

Patterns of weight control behavior persisting beyond young adulthood: Results from a 15-year longitudinal study.

OBJECTIVE: Dieting and unhealthy weight control behaviors have been associated with negative outcomes. Most research has examined the prevalence of these behaviors in adolescence and young adulthood. Less is known about whether they persist further into adulthood. We examined patterns of weight control behaviors beyond young adulthood using data from 1,455 males and females participating in Project EAT (Eating and Activity in Teens and Young Adults), a 15-year population-based, longitudinal study. METHOD: Participants completed surveys assessing dieting, high-frequency dieting (i.e., 5+ times/year), unhealthy weight control (e.g., fasting), and extreme weight control (e.g., vomiting) at each 5-year assessment (Waves 1-4). Longitudinal logistic regression models tested trends in weight control behaviors across the waves. Likelihood of persisting or discontinuing each behavior from Wave 3 to Wave 4 was examined through cross tabulations. RESULTS: Between Waves 3 and 4 in adulthood, dieting increased for both genders (Women: p < .001; Men: p = .004) and high-frequency dieting (p < .001) and unhealthy weight control behaviors (p = .011) increased for men. For both genders, dieting and unhealthy weight control patterns initiated in prior to young adulthood were more likely to persist than cease in adulthood (ps < .001). DISCUSSION: Weight control behaviors continue to be prevalent in adulthood, and to especially increase among men. Research is needed to understand the consequences of weight control behaviors in different life stages; however, the results suggest that interventions to decrease unhealthy weight management practices may be needed well into adulthood.

Gender differences in eating disorder psychopathology across DSM-5 severity categories of anorexia nervosa and bulimia nervosa.

OBJECTIVE: This study examined whether patterns of eating-disorder (ED) psychopathology differed by gender across DSM-5 severity specifiers in anorexia nervosa (AN) and bulimia nervosa (BN). METHOD: We tested whether ED psychopathology differed across DSM-5 severity specifiers among 532 adults (76% female) in a residential treatment center with AN or BN. We hypothesized that severity of ED psychopathology would increase in tandem with increasing severity classifications for both males and females with AN and BN. RESULTS: Among females with BN, DSM-5 severity categories were significantly associated with increasing ED psychopathology, including Eating Disorder Examination-Questionnaire dietary restraint, eating concern, shape concern, and weight concern; and Eating Disorder Inventory drive for thinness and bulimia. ED psychopathology did not differ across DSM-5 severity levels for males with BN. For both males and females with AN, there were no differences in ED psychopathology across severity levels. DISCUSSION: Results demonstrate that DSM-5 severity specifiers may function differently for males versus females with BN. Taken together, data suggest DSM-5 severity specifiers may not adequately capture severity, as intended, for males with BN and all with AN. Future research should evaluate additional clinical validators of DSM-5 severity categories (e.g., chronicity, treatment non-response), and consider alternate classification schemes.

Novel online daily diary interventions for nonsuicidal self-injury: a randomized controlled trial.

BACKGROUND: Nonsuicidal self-injury (NSSI), which involves self-damaging behavior (e.g., cutting) causes tissue damage and places people at elevated risk for future suicidal behaviors. Yet few specific treatments for NSSI currently exist. Extreme self-criticism is implicated in the development and maintenance of NSSI. We conducted a randomized controlled trial to evaluate Autobiographical Self-Enhancement Training (ASET), a novel, cognitive intervention for NSSI focused on reducing self-criticism and enhancing positive self-worth. We also examined whether Expressive Writing (EW) was a helpful treatment for NSSI. METHOD: Participants (N = 144) who had engaged in NSSI at least twice in the past month were recruited online and then randomly assigned via Qualtrics to receive the ASET intervention (N = 49), the EW intervention (N = 49), or Daily Journaling [JNL; N = 46]), an active comparison condition. Treatments were designed as month-long daily diaries. Participants in ASET wrote about something that made them feel good about themselves that day, participants in EW described something that had been on their mind that day, and participants in JNL reported on the events of the day in a factually descriptive manner without emotional content. RESULTS: Intent-to-treat analyses revealed that, regardless of treatment group, participants showed significant reductions in self-criticism, NSSI episodes, depression, and suicide ideation from baseline to the end of active treatment. Relative to the JNL group, the ASET group reported significantly less self-criticism at post-treatment; this was not maintained at follow-up. There was also a trend toward ASET being associated with less suicide ideation at the end of treatment compared to EW. This difference was significant at the 3-month follow-up. Unexpectedly, the JNL group reported significantly less suicide ideation than the EW group at post-treatment; this was maintained at 3-month follow-up. No significant treatment effects were detected for suicide plans, suicidal behaviors, desire to discontinue NSSI, or likelihood of future NSSI. CONCLUSION: Self-criticism is an important treatment target in NSSI, but changing self-criticism in people with an established history of NSSI presents challenges. Nonetheless, all approaches provided benefits. This study also established the feasibility of inexpensive and easily disseminated treatments for NSSI. TRIAL REGISTRATION NUMBER: ISRCTN12276176 (retrospectively registered, March 13, 2018).

Restrictive eating and nonsuicidal self-injury in a nonclinical sample: Co-occurrence and associations with emotion dysregulation and interpersonal problems.

Disordered eating frequently co-occurs with nonsuicidal self-injury (NSSI), and evidence suggests that the co-occurrence of these behaviors is associated with heightened emotion dysregulation. However, little is known about the relationship between restrictive eating and NSSI, and the significance of their co-occurrence. This study examined cross-sectional associations between self-reported restrictive eating, NSSI, and putative mechanisms of emotion regulation and interpersonal problems in a non-clinical sample of undergraduate students (N = 98, 80.6% female), using the Dietary Restriction Screener (Haynos & Fruzzetti, 2015), Deliberate Self-Harm Inventory (Gratz, 2001), Difficulties in Emotion Regulation Scale (Gratz & Roemer, 2006), and Inventory of Interpersonal Problems-Personality Disorders-25 (Kim & Pilkonis, 1999). Hierarchical logistic regression analyses indicated that restrictive eating was associated with NSSI above and beyond the influence of binge eating, purging, and relevant covariates (B = 2.04, p < 0.001). In addition, multivariate analyses of variance revealed that the co-occurrence of restrictive eating and NSSI was associated with greater difficulties accessing and implementing effective, rather than impulsive, emotion regulation strategies when distressed than either behavior alone (p < 0.001). Findings highlight the seriousness of restrictive eating even within a nonclinical sample, as it is associated with heightened probability of NSSI and clinical severity among those who engage in co-morbid NSSI. Healthcare providers are encouraged to screen for NSSI among individuals with restrictive eating. In addition, a focus on improving emotion regulation and interpersonal skills may enhance prevention and intervention efforts for individuals with co-occurring restrictive eating and NSSI behaviors.

Improving prediction of eating-related behavioral outcomes with zero-sensitive regression models.

OBJECTIVE: Outcome variables gauging the frequency of specific disordered eating behaviors (e.g., binge eating, vomiting) are common in the study of eating and health behaviors. The nature of such data presents several analytical challenges, which may be best addressed through the application of underutilized statistical approaches. While zero-sensitive models are well-supported by methodologists, application of these models has yet to gain traction among a widespread audience of researchers who study eating-related behaviors. The current study examined several approaches to predicting count-based behaviors, including zero-sensitive (i.e., zero-inflated and hurdle) regression models. METHOD: Exploration of alternative models to predict eating-related behaviors occurred in two parts. In Part 1, participants (N = 524; 54% female) completed the Eating Disorder Examination-Questionnaire and Daily Stress Inventory. We considered the theoretical basis and practical utility of several alternative approaches for predicting the frequency of binge eating and compensatory behaviors, including ordinary least squares (OLS), logistic, Poisson, negative binomial, and zero-sensitive models. In Part 2, we completed Monte Carlo simulations comparing negative binomial, zero-inflated negative binomial, and negative binomial hurdle models to further explore when these models are most useful. RESULTS: Traditional OLS regression models were generally a poor fit for the data structure. Zero-sensitive models, which are not limited to traditional distribution assumptions, were preferable for predicting count-based outcomes. In the data presented, zero-sensitive models were useful in modeling behaviors that were relatively rare (laxative use and vomiting, 9.7% endorsed) along with those that were somewhat common (binge eating, 33.4% endorsed; driven exercise, 40.7% endorsed). Simulations indicated missing data, sample size, and the number of zeros may impact model fit. DISCUSSION: Zero-sensitive approaches hold promise for answering key questions about the presence and frequency of common eating-related behaviors and improving the specificity of relevant statistical models. The current manuscript provides practical guidance to aid the use of these models when studying eating-related behaviors.